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Real-time vehicle matching for multi-camera tunnel surveillance

Vedran Jelača UGent, Jorge Niño Castañeda UGent, Andres Frias Velazquez UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2011) Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers. 7871.
abstract
Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems dedicated to this task can contain hundreds of cameras which observe dozens of vehicles each, for a real-time performance computational efficiency is essential. In this paper, we propose a low complexity, yet highly accurate method for vehicle matching using vehicle signatures composed of Radon transform like projection profiles of the vehicle image. The proposed signatures can be calculated by a simple scan-line algorithm, by the camera software itself and transmitted to the central server or to the other cameras in a smart camera environment. The amount of data is drastically reduced compared to the whole image, which relaxes the data link capacity requirements. Experiments on real vehicle images, extracted from video sequences recorded in a tunnel by two distant security cameras, validate our approach.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
tunnel surveillance, traffic monitoring, feature extraction, Object recognition, FEATURES
in
Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers
Proc. SPIE Soc. Photo-Opt. Instr. Eng.
editor
Nasser Kehtarnavaz and Matthias F Carlsohn
volume
7871
issue title
Real-time image and video processing 2011
article number
78710R
pages
8 pages
publisher
SPIE, the Society of Photo-Optical Instrumentation Engineers
place of publication
Bellinghan, WA, USA
conference name
Real-Time Image and Video Processing 2011
conference location
San Francisco, CA, USA
conference start
2011-01-24
conference end
2011-01-25
Web of Science type
Article
Web of Science id
000293702600026
ISSN
0277-786X
ISBN
9780819484086
DOI
10.1117/12.876671
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1234711
handle
http://hdl.handle.net/1854/LU-1234711
date created
2011-05-24 17:00:14
date last changed
2017-01-02 09:52:34
@inproceedings{1234711,
  abstract     = {Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems dedicated to this task can contain hundreds of cameras which observe dozens of vehicles each, for a real-time performance computational efficiency is essential. In this paper, we propose a low complexity, yet highly accurate method for vehicle matching using vehicle signatures composed of Radon transform like projection profiles of the vehicle image. The proposed signatures can be calculated by a simple scan-line algorithm, by the camera software itself and transmitted to the central server or to the other cameras in a smart camera environment. The amount of data is drastically reduced compared to the whole image, which relaxes the data link capacity requirements. Experiments on real vehicle images, extracted from video sequences recorded in a tunnel by two distant security cameras, validate our approach.},
  articleno    = {78710R},
  author       = {Jela\v{c}a, Vedran and Ni{\~n}o Casta{\~n}eda, Jorge and Frias Velazquez, Andres and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers},
  editor       = {Kehtarnavaz, Nasser and Carlsohn, Matthias F},
  isbn         = {9780819484086},
  issn         = {0277-786X},
  keyword      = {tunnel surveillance,traffic monitoring,feature extraction,Object recognition,FEATURES},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  pages        = {8},
  publisher    = {SPIE, the Society of Photo-Optical Instrumentation Engineers},
  title        = {Real-time vehicle matching for multi-camera tunnel surveillance},
  url          = {http://dx.doi.org/10.1117/12.876671},
  volume       = {7871},
  year         = {2011},
}

Chicago
Jelača, Vedran, Jorge Niño Castañeda, Andres Frias Velazquez, Aleksandra Pizurica, and Wilfried Philips. 2011. “Real-time Vehicle Matching for Multi-camera Tunnel Surveillance.” In Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers, ed. Nasser Kehtarnavaz and Matthias F Carlsohn. Vol. 7871. Bellinghan, WA, USA: SPIE, the Society of Photo-Optical Instrumentation Engineers.
APA
Jelača, V., Niño Castañeda, J., Frias Velazquez, A., Pizurica, A., & Philips, W. (2011). Real-time vehicle matching for multi-camera tunnel surveillance. In N. Kehtarnavaz & M. F. Carlsohn (Eds.), Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers (Vol. 7871). Presented at the Real-Time Image and Video Processing 2011, Bellinghan, WA, USA: SPIE, the Society of Photo-Optical Instrumentation Engineers.
Vancouver
1.
Jelača V, Niño Castañeda J, Frias Velazquez A, Pizurica A, Philips W. Real-time vehicle matching for multi-camera tunnel surveillance. In: Kehtarnavaz N, Carlsohn MF, editors. Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers. Bellinghan, WA, USA: SPIE, the Society of Photo-Optical Instrumentation Engineers; 2011.
MLA
Jelača, Vedran, Jorge Niño Castañeda, Andres Frias Velazquez, et al. “Real-time Vehicle Matching for Multi-camera Tunnel Surveillance.” Proceedings of SPIE, the Society of Photo-Optical Instrumentation Engineers. Ed. Nasser Kehtarnavaz & Matthias F Carlsohn. Vol. 7871. Bellinghan, WA, USA: SPIE, the Society of Photo-Optical Instrumentation Engineers, 2011. Print.